Operating performance of multi‐modular water‐phase change material tanks for emergency cooling in an underground shelter
Bibliographic record
Abstract
Latent heat thermal energy storage can not only alleviate the mismatch between supply and demand but also improve the performance and dependability of the energy system. Unfortunately, previous research achieves a specific engineering load shifting using a single water-phase change material (PCM) tank, the volume of which is tailored to the specific cooling or heating load. This paper proposes the concept of multi-modular water-PCM tanks (MMWPT), which offer flexibility and are simple to be mass-produced, as thermal storage in an underground shelter's emergency mode. The thermal inertia of the geothermal energy is used to remain the PCM at solid state at first and to naturally cool the tank once they are melted. The mathematical model is created in MATLAB and validated by experiment with an NMBE of less than ±10% and RMSE of less than 30%. In addition, the MMWPT's thermal performance in various matrixes was investigated in an underground shelter where the peak load occurs suddenly and with low frequency. The result reveals that the ∆Twater in the scenario with matrix form of N (number of tanks in series) × 5 (number of tanks in parallel) is almost four times as that with matrix form of N × 1. By separating the water into five parallel water tanks, the corresponding EDD is 1.27-1.28 times larger. Changing the N from 1 to 2 and 3 could increase the EDD by 3.0%-12.5% and 5.9%-25%, respectively. Three acceptable MMWPT matrixes were presented using the effective discharging duration (EDD) and temperature drop as assessment criteria. Additionally, PCM with a maximum phase change temperature () of 19.41°C and a connection matrix of 3 × 4 is recommended when using a single charging cycle or active cooling approach. Otherwise, a of 22.41°C with a connection matrix of 3 × 5 is advised. This research is planned to give references for using the MMWPT in underground shelters to shift loads.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".